class_docstr: The operator is not really threadsafe as python cannot
  play with two locales at the same time. stop words
  should not be implemented here as the tokenization
  usually happens after this steps.
docstr: Transforms accentuated unicode symbols into their simple counterpart.
  Source: `sklearn/feature_extraction/text.py
  <https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/
  feature_extraction/text.py#L115>`_.
  
  Args:
      s: string The string to strip
  
  Returns:
      the cleaned string
docstr_tok: ["Transforms","accentuated","unicode","symbols","into","their","simple","counterpart",".","Source",":","`","sklearn\/feature_extraction\/text.py","<","https",":","\/\/github.com\/scikit-learn\/scikit-learn\/blob\/main\/sklearn\/","feature_extraction\/text.py","#","L115",">","`","_",".","Args",":","s",":","string","The","string","to","strip","Returns",":","the","cleaned","string"]
code: def strip_accents_unicode(s):  # type: ignore
      """Transforms accentuated unicode symbols into their simple counterpart.
      Source: `sklearn/feature_extraction/text.py
      <https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/
      feature_extraction/text.py#L115>`_.
  
      Args:
          s: string The string to strip
  
      Returns:
          the cleaned string
      """
      try:
          # If `s` is ASCII-compatible, then it does not contain any accented
          # characters and we can avoid an expensive list comprehension
          s.encode("ASCII", errors="strict")
          return s
      except UnicodeEncodeError:
          normalized = unicodedata.normalize("NFKD", s)
          s = "".join(
              [c for c in normalized if not unicodedata.combining(c)]
          )
          return s
  
file_path: onnx/onnx/reference/ops/op_string_normalizer.py
imports: import locale
  import unicodedata
  import warnings
  import numpy
  from onnx.reference.op_run import OpRun, RuntimeTypeError
label_desc: Use image node_id 4 for calling the StringNormalizer obj's underlying member method code with example usage: obj.strip_accents_unicode(s) and returns: s, s